Forecasting Achievement of Inactive Disease in Juvenile Idiopathic Arthritis with Artificial Intelligence.
AI predicts inactive disease in juvenile idiopathic arthritis: 68 predictors, 414 patients, 0.68 MCC! 🤖📊
June 26, 2025
Follow us
latest articles
Discover the newest research about AI innovations in Research.
Patient Death Associated with Cyber Attack on NHS Pathology Provider
Patient death linked to NHS cyber attack raises concerns about healthcare cybersecurity. ⚠️ Urgent reviews and improvements needed. 🏥
June 26, 2025
Human-Centered Design and Development in Digital Health: Approaches, Challenges, and Emerging Trends.
Human-Centered Design in Digital Health: Key Trends & Challenges 🧠💻
June 26, 2025
NHS Wales Introduces New Diabetes Management Apps
NHS Wales launches diabetes management apps to support Type 2 diabetes prevention and self-management. Accessible tools aim to enhance patient care. 📱💙
June 26, 2025
Immunomodulatory Therapy in Non-Infectious Uveitis: Current Landscape, Gaps, and Future Directions.
Immunomodulatory therapy for non-infectious uveitis: addressing gaps, optimizing strategies, and future AI advancements. 🧠👁️
June 26, 2025
Need for Unified Patient Records in the NHS
Unified Patient Records in the NHS: A pressing need for better care and efficiency. 🏥📊
June 25, 2025
Leveling Up: Harnessing Cutting-Edge Technology to Enhance Oncology Education and Learning.
Revolutionizing oncology education with AI, gamification, and digital media enhances learning experiences and professional growth. 📚💻
June 25, 2025
[A deep learning method for differentiating nasopharyngeal carcinoma and lymphoma based on MRI].
Deep learning model differentiates nasopharyngeal carcinoma from lymphoma using MRI: AUC 0.93 for T1WI+T2WI. 📊🧠
June 25, 2025
MHRA Secures £1 Million for AI Airlock Regulatory Sandbox
MHRA receives £1 million for AI Airlock regulatory sandbox, promoting safe testing of innovative medical devices. 🤖💰
June 25, 2025
Optimizing beat-wise input for arrhythmia detection using 1-D convolutional neural networks: A real-world ECG study.
Optimizing arrhythmia detection: 94.82% accuracy with 4 beats using 1-D CNNs in real-world ECG studies. 📊❤️
June 25, 2025